gharib85/introduction-quantum-programming

An introduction guide designed to introduce Quantum Programming concepts with Qiskit.

Introduction Guide for Quantum Programming ✨

My solutions for Q-Drive Quantum Programming Assignments. These collection of notebooks designed to introduce the basics of quantum computation and quantum programming.

I will be maintaining this repository and add additional resources to go beyond the introductory material.

These notebooks are under license of QLatvia Software: http://qusoft.lu.lv/

Use index_bronze notebook to navigate around the files.

You can simply clone the repo and work on the jupyter notebooks by yourself.

Note: GitHub not yet supports rendering new Jupyter Notebook format so you might not see the rendered versions of notebooks on the GitHub repo.

Library Dependencies:

• Install qiskit
• Install numpy
• Install matplotlib

How bronze (jupyter notebooks) structured::books:

• Python review: Review basic operations and libraries of Python3
• Some linear algebra: Linear algebra review (dot product, matrix and tensor products)
• Probabilistic systems: Probabilistic states, probabilistic operators, coin flipping game
• Basics of quantum systems: Quantum gates, Entanglement, Superposition, Superdense Coding, Qubits
• Visualization of a (real-valued) qubit: Visualize Qubits, Create and manipulate quantum states
• Operations on (real-valued) qubits: Reflection, Rotation, Quantum Teleportation, Rotation Automata
• Grover's search algorithm: Inversion About the Mean, Phase Kickback, Grover's Search: One Qubit Representation

Quantum Machine Learning

• A paper about how quantum programming can be used together with machine-learning: https://arxiv.org/pdf/1804.10068.pdf